Human Capital and Bayesian Information Theory

人力资本和贝叶斯信息论

• 批准号: 9422763
• 负责人: Boyan Jovanovic
• 金额: $ 32.2万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-06-01 至 1998-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9422763&HistoricalAwards=false
• 关键词: Human; Capital; Bayesian; Information; Theory

SBR-9422763 Boyan Jovanovic and Yaw Nyarko It is common practice in economics to specify the production function of the firm independently of the process of human capital accumulation. This research shows that many forms of technological change-- learning by doing, learning by watching, learning by research and learning by copying-- imply that output production function and the human capital accumulation process must have common parameters. This, in turn, implies that an understanding of how human capital grows requires knowledge of the production process. Furthermore, (a) the level and growth of individual's earnings will depend on the nature of the work done, (b) the level and growth of productivity at the plant or firm level will depend on the nature of the production process, (c) the level and growth of human capital of countries or regions will depend on the sectoral composition of production. This research sheds light on these relationships.

SBR-9422763 Boyan Jovanovic和Yaw Nyarko 在经济学中，通常的做法是独立于人力资本积累过程来确定企业的生产函数。 这项研究表明，技术变革的许多形式-边做边学、边看边学、边研究边学和边复制边学-意味着产出生产函数和人力资本积累过程必须有共同的参数。 这反过来又意味着，要理解人力资本如何增长，就需要了解生产过程。 此外，（a）个人收入的水平和增长将取决于所做工作的性质，（B）工厂或公司一级生产力的水平和增长将取决于生产过程的性质，（c）国家或区域人力资本的水平和增长将取决于生产的部门构成。 这项研究揭示了这些关系。